Data cleaning and enrichment through data integration: networking the Italian academia [PDF]
Scientific DataWe describe a bibliometric network characterizing co-authorship collaborations in the entire Italian academic community. The network, consisting of 38,220 nodes and 507,050 edges, is built upon two distinct data sources: faculty information provided by ...
Irene Finocchi +3 more
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How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics [PDF]
Comput Environ Urban Syst, 2021 Aoyong Li +4 more
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Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning
Applied Sciences, 2023 This paper proposes a human-in-the-loop framework that integrates machine learning models with semantic technologies to aid decision making in the domain of steelmaking.
Sadeer Beden +3 more
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Semantic Web Applications: Current Trends in Datasets, Tools and Technologies’ Development for Linked Open Data [PDF]
Informatică economică, 2020 We report a survey on the actual state of the art about semantic web and its applications. Semantic Web plays a major role in integrating data, especially open data, publicly available on the Internet.
Sabina-Cristiana NECULA
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BMC Medical Informatics and Decision Making, 2020 In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland ...
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
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Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
Applied Sciences, 2023 In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analytics ...
Zaira Hassan Amur +4 more
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Semantic data discovery from Social Big Data [PDF]
, 2021 Due to the large volume of data and information generated by a multitude of social data sources, it is a huge challenge to manage and extract useful knowledge, especially given the different forms of data, streaming data and uncertainty and ambiguity of data.
arxiv +1 more source
A Semantic Data Model: Meaning Making from Data Structures in the SQL Server
Journal of Information Systems Engineering and Business Intelligence, 2018 Information systems designs are increasingly concerned with entity relationships and technical programmatic approaches to solutions architecture as opposed to semantic based, business focused information architecture that places business definitions at ...
Sanjay Ramesh, Anthony Henderson
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INTEGRATION OF SEMANTIC 3D CITY MODELS AND 3D MESH MODELS FOR ACCURACY IMPROVEMENTS OF SOLAR POTENTIAL ANALYSES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 High-resolution 3D mesh models are an inexpensive and increasingly available data source for 3D models of cities and landscapes of high visual quality and rich geometric detail.
B. Willenborg, M. Pültz, T. H. Kolbe
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COGNITIVE GRAPHICS AND SEMANTIC MODELING FOR GEOSPATIAL SOLUTIONS IN ENERGY SECTOR
InterCarto. InterGIS, 2015 The author team proposes the integration of mathematical and semantic modeling and visual analytics techniques, including the use of geographic information technologies, to solve geospatial problems.
L. V. Massel, A. G. Massel, R. A. Ivanov
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